Fundamental Toxicological Sciences

Paper Details

Fundamental Toxicological Sciences
Vol. 9 No. 2 April 05, 2022 p.37-46
Letter
Molecular network analysis of RNA viral infection pathway in diffuse- and intestinal-type gastric cancer
  • Shihori Tanabe (Division of Risk Assessment, Center for Biological Safety and Research, National Institute of Health Sciences / stanabe@nihs.go.jp)
Shihori Tanabe 1) , Sabina Quader 2) , Ryuichi Ono 3) , Horacio Cabral 4) , Kazuhiko Aoyagi 5) , Akihiko Hirose 1) , Hiroshi Yokozaki 6) , Hiroki Sasaki 7)
1) Division of Risk Assessment, Center for Biological Safety and Research, National Institute of Health Sciences , 2) Innovation Center of NanoMedicine (iCONM), Kawasaki Institute of Industrial Promotion , 3) Division of Cellular and Molecular Toxicology, Center for Biological Safety and Research, National Institute of Health Sciences , 4) Department of Bioengineering, Graduate School of Engineering, University of Tokyo , 5) Department of Clinical Genomics, National Cancer Center Research Institute , 6) Department of Pathology, Kobe University of Graduate School of Medicine , 7) Department of Translational Oncology, National Cancer Center Research Institute
Keywords: Epithelial-mesenchymal transition, Gastric cancer, Molecular network analysis, Pathway network, RNA virus, Therapeutic target
Abstracts

There are several subtypes of gastric cancer, such as diffuse-type gastric cancer (GC) and intestinal-type GC. Diffuse-type GC is known to be more malignant than intestinal-type GC, showing high metastasis, recurrence and anti-cancer drug resistance. The malignant phenotype of diffuse-type GC includes cancer stem cell (CSC)-like features and epithelial-mesenchymal transition (EMT). By analyzing the molecular network in these tumors, it is possible to reveal the mechanisms of anti-cancer drug resistance, therapeutic targets and drug safety. Upon the analyses of the molecular network in diffuse- and intestinal-type GC, a regulatory network for RNA virus infection was obtained. This study aims to reveal the relationship between cancer and RNA virus infection in detail. RNA virus infection-related molecules and cancer-related molecules were analyzed using network analysis tools, such as Ingenuity Pathway Analysis (IPA), and molecular networks related to RNA virus infection mechanisms. Regulator effect analysis revealed the involvement of RNA virus infection network in diffuse-type GC. c-Jun N-terminal kinase (JNK) and BCL2 like 11 (BCL2L11) in the Coronavirus Pathogenesis Pathway were activated. In conclusion, this research suggested the relationship between the mechanisms of RNA virus infection and diffuse-type GC. This study may be useful for virus infection control and cancer drug discovery by clarifying the relationship between the mechanism of RNA virus infection and cancer.